HANDS ON MACHINE LEARNING WITH SCIKIT LEARN KERAS and TENSORFLOW by Aurelien Geron
Full Color Edition Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworksβ Scikit-Learn and TensorFlowβauthor AurΓ©lien GΓ©ron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. Youβll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what youβve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods
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